Linear models in statistics
By: Alvin C. Rencher.
Series: Wiley series in probability and statistics
Publisher: Wiley; Wiley-Interscience
Published: 2000
Place of publication: New York
Language: eng
Number of pages: 578
Subjects: Linear models (Statistics)
Description: "Linear Models in Statistics discusses classical linear models from a matrix algebra perspective, making the subject easily accessible to readers encountering linear models for the first time. It provides a solid foundation from which to explore the literature and interpret correctly the output of computer packages, and brings together a number of approaches to regression and analysis of variance that more experienced practitioners will also benefit from.

With an emphasis on broad coverage of essential topics, Linear Models in Statistics carefully develops the basic theory of regression and analysis of variance, illustrating it with examples from a wide range of disciplines."--BOOK JACKET.
Notes: Includes bibliographical references and index.